Zobrazeno 1 - 10
of 1 762
pro vyhledávání: '"Thomas, J R"'
We investigate star formation from subparsec to kpc scales with magnetohydrodynamic (MHD) models of a cloud structure and a section of galactic spiral arm. We aim to understand how magnetic fields affect star formation, cloud formation and how feedba
Externí odkaz:
http://arxiv.org/abs/2407.05390
This work presents a new hybrid discretization approach to alleviate membrane locking in isogeometric finite element formulations for Kirchhoff-Love shells. The approach is simple, and requires no additional dofs and no static condensation. It does n
Externí odkaz:
http://arxiv.org/abs/2312.16944
Observations of clusters suffer from issues such as completeness, projection effects, resolving individual stars and extinction. As such, how accurate are measurements and conclusions are likely to be? Here, we take cluster simulations (Westerlund2-
Externí odkaz:
http://arxiv.org/abs/2310.20413
Autor:
Lorenzo, Guillermo, Heiselman, Jon S., Liss, Michael A., Miga, Michael I., Gomez, Hector, Yankeelov, Thomas E., Reali, Alessandro, Hughes, Thomas J. R.
Active surveillance (AS) is a suitable management option for newly-diagnosed prostate cancer (PCa), which usually presents low to intermediate clinical risk. Patients enrolled in AS have their tumor closely monitored via longitudinal multiparametric
Externí odkaz:
http://arxiv.org/abs/2310.00060
It remains unclear how galactic environment affects star formation and stellar cluster properties. This is difficult to address in Milky Way-mass galaxy simulations because of limited resolution and less accurate feedback compared to cloud-scale mode
Externí odkaz:
http://arxiv.org/abs/2306.12945
Publikováno v:
MNRAS, V521, I4, Y2023
We present hydrodynamic and magnetohydrodynamic (MHD) simulations of sub galactic regions including photoionising and supernova feedack. We aim to improve the initial conditions of our region extraction models by including an initial population of st
Externí odkaz:
http://arxiv.org/abs/2304.06659
In recent years operator networks have emerged as promising deep learning tools for approximating the solution to partial differential equations (PDEs). These networks map input functions that describe material properties, forcing functions and bound
Externí odkaz:
http://arxiv.org/abs/2209.12871
We explore the interplay between supernovae and the ionizing radiation of their progenitors in star forming regions. The relative contributions of these stellar feedback processes are not well understood, particularly on scales greater than a single
Externí odkaz:
http://arxiv.org/abs/2204.12171
The role of different stellar feedback mechanisms in giant molecular clouds is not well understood. This is especially true for regions with many interacting clouds as would be found in a galactic spiral arm. In this paper, building on previous work
Externí odkaz:
http://arxiv.org/abs/2201.04141